Course description

• Course content
• Learning outcome
• Admission
• Prerequisites

• Teaching
• Examination
• Evaluation

Course content

The course is intended to give a conceptual understanding of the basic techniques available for analysing and interpreting epidemiological data on infectious diseases. The course should provide the participants the background for reading and interpreting modelling papers.

Learning outcome

The course covers the following areas: An introduction to compartmental models, exemplified by the Susceptible-Exposed-Infected-Recovered (SEIR) model; presentation of fundamental epidemiological concepts such as the basic reproductive rate (R_0), endemic infections and vaccination policies; impact of population structure and human contact patterns on the transmission dynamics of infections; stochastic models; emerging infections with focus on design of intervention programmes.

Admission

The maximum number of participant is 30.

How to apply:

• PhD candidates admitted to a PhD programme at UiO:
  •  Apply in StudentWeb

• Applicants who are not admitted to a PhD programme at UiO:
  • Must apply for a right to study PhD courses in medicine and health sciences in S?knadsWeb before they can apply for this course.
  • External applicants should apply for a right to study minimum 3 weeks before the course application deadline.
  • When a right to study is granted, external applicants apply for this course in StudentWeb.
  • See information about how to apply for at right to study and how to apply for PhD courses here: How external applicants can apply for elective PhD courses in medicine and health sciences.

Reply to course application:

• This course has registration type Automatic reply.
• Applicants to a course with registration type automatic reply, will upon registration immediately receive a reply in StudentWeb as to whether the application is granted, the course is full, or if the applicant do not meet the formal prerequisite knowledge.

Prerequisites

Recommended previous knowledge

The target group for the course are Ph.D. students in medicine or biology, or medical and public health care professionals, veterinary scientists, medical statisticians, and others with interest in infectious disease modelling. Specialist mathematical training is not a prerequisite.

Teaching

The course will be divided between lectures and group sessions. In the group sessions emphasis will be on reading and discussion of relevant modelling papers, including calculation of simple epidemiological parameters.

You have to participate in at least 80 % of the teaching to be allowed to take the exam. Attendance will be registered.

Examination

A take-home exam will be given at the end of the course.

Submit assignments in Inspera

You submit your assignment in the digital examination system Inspera. Read about how to submit your assignment.

Use of sources and citation

You should familiarize yourself with the rules that apply to the use of sources and citations. If you violate the rules, you may be suspected of cheating/attempted cheating.

Grading scale

Grades are awarded on a pass/fail scale. Read more about the grading system.

Explanations and appeals

• Explanation of grades and appeals

Resit an examination

• Illness at exams / postponed exams
• Resitting an examination

Withdrawal from an examination

It is possible to take the exam up to 3 times. If you withdraw from the exam after the deadline or during the exam, this will be counted as an examination attempt.

Special examination arrangements

Application form, deadline and requirements for special examination arrangements.

Evaluation

The course is subject to continuous evaluation. At regular intervals we also ask students to participate in a more comprehensive evaluation.